Closed-Loop Intelligence: How AI Plans, Connects, Fails, and Learns Across the Hyperscale Infrastructure Lifecycle

At AWS scale, a single capacity planning error misallocates hundreds of millions in CapEx. Spreadsheets don't survive at this velocity — closed-loop AI systems do.
This session delivers a practitioner's unfiltered view from inside hyperscale infrastructure planning at AWS. We examine how AI pipelines connect demand forecasting, gap analysis, build planning, and rack deployment into a single end-to-end system and what that looks like in operational reality. We explore how feedback loops enable planning systems to detect model drift, recalibrate on actuals, and compound forecast accuracy over time.
But intelligence without failure analysis is incomplete. We confront what happens when the forecast is wrong at scale, how failure cascades across procurement, deployment, and customer commitments, and how human-in-the-loop governance and explainable AI contain the damage and restore trust.
AI that plans, connects, fails, and learns.
Speaker(s): Nainsi Jain,
Agenda:
Arlington Central Library
1015 N Quincy St, Arlington, Airlington, Virginia, United States, 22201, Virtual: https://events.vtools.ieee.org/m/560012